Instructions to use BlackSamorez/HuYaLM-100B-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BlackSamorez/HuYaLM-100B-fp16 with Transformers:
# Load model directly from transformers import YalmCausalLM model = YalmCausalLM.from_pretrained("BlackSamorez/HuYaLM-100B-fp16", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a78947814db6d23dc24f1c14dd031648243890f78c6b460056be10d72fe924f
- Size of remote file:
- 2.52 GB
- SHA256:
- d78c4510fa0ad29ec84f464da0bfa224847a4e23ce34bfc7da7ef1ba8be3ae88
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